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MayNiklas/MMD2-brighter-emotion

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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MMD2 — BRIGHTER Multilingual Emotion Classifiers

Fine-tuned models for the BRIGHTER benchmark (SemEval-2025 Task 11): multilingual multi-label emotion classification.

Submitted as part of the Mining Media Data 2 course project.

—Input: short text (tweet / comment) in one of 28 languages
—Output: one or more emotion labels from {anger, disgust, fear, joy, sadness, surprise}
—Metric: macro-F1 over emotion labels

Directory	Base model
`mbert/`	`google-bert/bert-base-multilingual-cased`
`qwen3.5-0.8b/`	`Qwen/Qwen3.5-0.8B`
`qwen3.5-0.8b-chinese-ft/`	`Qwen/Qwen3.5-0.8B`
`qwen3.5-2b/`	`Qwen/Qwen3.5-2B`
`qwen3.5-2b-chinese-ft/`	`Qwen/Qwen3.5-2B`
`qwen3.5-4b/`	`Qwen/Qwen3.5-4B`
`qwen3.5-4b-chinese-ft/`	`Qwen/Qwen3.5-4B`